A new version of the flusser invariants set for pattern feature extraction

Authors:
Constantin-Iulian Vizitiu;Doru Munteanu
Affiliations:
Communications and Electronic Systems Department, Military Technical Academy, Bucharest, Romania;Communications and Electronic Systems Department, Military Technical Academy, Bucharest, Romania
Venue:
CIMMACS'07 Proceedings of the 6th WSEAS international conference on Computational intelligence, man-machine systems and cybernetics
Year:
2007

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Abstract

The choice of an appropriate feature extraction method is essential for the success of the following recognition/classification process. This paper proposes a design method for a new pattern descriptors set belonging to the Flusser moments family, which is invariant to the elementary geometric transformations and respectively, has an increased noise robustness. Experimental results based on a real video image database, confirm the basic properties of this new descriptors set.